Qualidade no terceiro setor: o Centro Comunitário da Gafanha do Carmo

Mestrado em Administração e Gestão PúblicaOs temas da Qualidade e Satisfação são cada vez mais debatidos nas organizações, visto que os utentes se tornam cada vez mais exigentes e procuram serviços que os satisfaçam. Mais recentemente, esta evolução chegou também ao terceiro setor, nomeadamente às IPSS, que se preocupam com o Bem-estar dos seus utentes precisam assim de inovar e garantir a sua satisfação. Desta forma, esta investigação tem como objetivo analisar a perceção que os utentes do Centro Comunitário da Gafanha do Carmo têm da qualidade dos serviços que lhes são prestados, assim como as dimensões mais importantes. O trabalho empírico baseou-se na metodologia quantitativa, sendo aplicado um questionário SERVPERF, a 24 dos 43 utentes presentes do Centro. Os principais resultados obtidos traduzem uma clara satisfação dos utentes em relação à instituição e funcionários, salientando desta forma a qualidade dos serviços prestados e negando explicitamente a possibilidade de mudarem para outra instituição. Com este trabalho podemos verificar a extrema importância que o processo de certificação da qualidade tem para as organizações e seus utentes, assim como para a sociedade, que ganha assim instituições mais eficazes e com mais qualidade.The themes of Quality and Satisfaction are increasingly debated within organizations, as users become more demanding and seek services that meet. More recently, this trend has also reached the third sector, including the IPSS, who care about the welfare of their clients so need to innovate and ensure your satisfaction. Thus, this research aims to analyze the perception that users of the Community Center Gafanha do Carmo have the quality of services provided to them, as well as the most important dimensions. The empirical work was based on quantitative methodology, a questionnaire applied SERVPERF, 24 of the 43 present users of the Center. The main results show a clear user satisfaction in relation to the institution and staff, thus emphasizing the quality of services provided and explicitly denying the possibility of moving to another institution. With this work we can see the extreme importance that the certification process has the quality to organizations and its users, as well as to society, which thus gains institutions more effective and with better quality

PCR identification of lactic acid bacteria populations in corn silage inoculated with lyophilised or activated Lactobacillus buchneri

This study aimed to evaluate the effect of inoculation with lyophilised and/or activated Lactobacillus buchneri on lactic acid bacteria populations in corn silage. Experimental treatments consisted of corn silage without additives or silage with the inoculants of L. buchneri (1 x 105 cfu/g) applied according to the manufacturer’s recommendations (1 g/tonne fodder) in the forms of the lyophilised inoculant and pre-activated inoculant. Purified isolates from corn silage with and without the inoculant were identified, and 93% of the isolates corresponded to the lactic acid bacteria of the species Lactobacillus plantarum. Among the isolates, no bacteria of the species L. buchneri were detected. The application of lyophilised or activated L. buchneri improved the microbiological profile and reduced ethanol production in corn silage, even without being identified among the isolates captured 70 days after ensilage. Highlights: Lactic acid bacteria showed greater development at 7 days of fermentation. Lactobacillus plantarum predominated at 70 days, representing 93% of the total LAB population. Lactobacillus buchneri improved its microbiological profile with decreased ethanol production.This study aimed to evaluate the effect of inoculation with lyophilised and/or activated Lactobacillus buchneri on lactic acid bacteria populations in corn silage. Experimental treatments consisted of corn silage without additives or silage with the inoculants of L. buchneri (1 x 105 cfu/g) applied according to the manufacturer’s recommendations (1 g/tonne fodder) in the forms of the lyophilised inoculant and pre-activated inoculant. Purified isolates from corn silage with and without the inoculant were identified, and 93% of the isolates corresponded to the lactic acid bacteria of the species Lactobacillus plantarum. Among the isolates, no bacteria of the species L. buchneri were detected. The application of lyophilised or activated L. buchneri improved the microbiological profile and reduced ethanol production in corn silage, even without being identified among the isolates captured 70 days after ensilage. Highlights: Lactic acid bacteria showed greater development at 7 days of fermentation. Lactobacillus plantarum predominated at 70 days, representing 93% of the total LAB population. Lactobacillus buchneri improved its microbiological profile with decreased ethanol production

A IMPORTÂNCIA DO PRÉ-NATAL NA PREVENÇÃO DE COMPLICAÇÕES DURANTE A GESTAÇÃO

To use scientific evidence to analyze the importance of prenatal care in preventing complications during pregnancy. Methods: This is a qualitative integrative literature review. The search for studies involved in the research was carried out in the following databases: SCIELO, LILACS, BDENF and MEDLINE, using the health sciences descriptors: "Pregnancy", "Prenatal care" and "Prevention". The inclusion criteria were: published between 2014 and 2024, with free access to full texts, articles in Portuguese, English and Spanish and related to the theme. Exclusion criteria were: duplicate articles, incomplete articles, abstracts, reviews, debates, articles published in event proceedings and unavailable in full. Results: In addition to these activities and early diagnosis during prenatal care, it is possible to carry out intrauterine treatment, which enables the baby to be properly assessed. Conclusion: It can be concluded that prenatal care is the main strategy for preventing health complications during pregnancy, and is most often carried out in primary care.Analisar por meio das evidências cientificas a importância do pré-natal na prevenção de complicações durante a gestação. Métodos: Trata-se de uma revisão integrativa da literatura de caráter qualitativo. A busca dos trabalhos envolvidos na pesquisa foi realizada nas seguintes bases de dados: SCIELO, LILACS, BDENF e MEDLINE, a partir dos descritores em ciências da saúde: “Gravidez”, “Pré-natal” e “Prevenção”. Os critérios de inclusão foram: publicados no período entre 2014 e 2024, cujo acesso ao periódico era livre aos textos completos, artigos em idioma português, inglês e espanhol e relacionados a temática. Critérios de exclusão foram: artigos duplicados, incompletos, resumos, resenhas, debates, artigos publicados em anais de eventos e indisponíveis na íntegra. Resultados: Além dessas atividades e do diagnóstico precoce no pré-natal é possível a realização do tratamento intra-uterino que possibilita uma avaliação adequado do bebê. Conclusão: Conclui-se que o pré-natal é a principal estratégia para a prevenção de complicações de saúde durante a gestação, sendo realizada com mais frequência na atenção primária

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort

Background: The city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil. Methods: A convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms. Findings: 2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52–14·79) overall and 6·78% (5·61–8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54–61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21–1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09–1·45]), relaxation of physical distancing (1·31 [1·05–1·64]), and having flu-like symptoms (1·79 [1·23–2·59]) or a COVID-19 diagnosis (3·57 [2·27–5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56–0·97]). Interpretation: An intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures. Funding: Ministry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.World Health OrganizationRevisión por pare

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Avanços da cirurgia robótica no tratamento de doenças cardiovasculares

Várias cirurgias médicas já utilizaram a tecnologia robótica, tais como: cirurgias no estômago, bexiga, rins, próstata, cérebro e inclusive no coração, o qual proporciona-se a reparação de válvulas cardíacas e até mesmo cirurgias nas artérias. O principal objetivo do presente estudo é discutir por meio da literatura científica acerca dos avanços da cirurgia robótica no tratamento de doenças cardiovasculares. Trata-se de uma revisão sistemática da literatura, dos quais, utilizou-se as bases e biblioteca eletrônica Scielo e Periódico Capes, totalizando 5 artigos elegíveis. A cirurgia robótica tem sido um dos principais métodos utilizados em tratamentos cardiovasculares quando comparados com técnicas convencionais, sobretudo, no que diz respeito, a cirurgia de revascularização do miocárdio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019 : A systematic analysis for the Global Burden of Disease Study 2019

Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC